AI RESEARCH
Chatbot-Based Assessment of Code Understanding in Automated Programming Assessment Systems
arXiv CS.AI
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ArXi:2604.07304v1 Announce Type: cross Large Language Models (LLMs) challenge conventional automated programming assessment because students can now produce functionally correct code without nstrating corresponding understanding. This paper makes two contributions. First, it reports a saturation-based scoping review of conversational assessment approaches in programming education. The review identifies three dominant architectural families: rule-based or template-driven systems, LLM-based systems, and hybrid systems.